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CN111489538A - Smoke alarm position detection platform and method - Google Patents

Smoke alarm position detection platform and method Download PDF

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Publication number
CN111489538A
CN111489538A CN202010020370.7A CN202010020370A CN111489538A CN 111489538 A CN111489538 A CN 111489538A CN 202010020370 A CN202010020370 A CN 202010020370A CN 111489538 A CN111489538 A CN 111489538A
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image
smoke alarm
smoke
real
position detection
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岳文伟
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
    • G08B29/02Monitoring continuously signalling or alarm systems
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/10Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
    • G08B17/103Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means using a light emitting and receiving device
    • G08B17/107Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means using a light emitting and receiving device for detecting light-scattering due to smoke

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Fire-Detection Mechanisms (AREA)

Abstract

The invention relates to a smoke alarm position detection platform and a method, wherein the platform comprises: the content searching device is used for searching an image area, which is matched with the appearance pattern of a certain smoke alarm and exceeds a preset percentage threshold value, in the received image to be used as a smoke alarm area; the position analysis equipment is used for calculating a reference position corresponding to the smoke alarm based on the depth of field of the centroid of each smoke alarm area and the imaging focal length of the embedded camera, and the reference position is a coordinate value of a coordinate point in a coordinate system established by taking the embedded camera as an original point; a distribution verification device for calculating the uniformity of distribution of the smoke alarms based on the reference positions of the smoke alarms. The smoke alarm position detection platform and the smoke alarm position detection method are intelligent in operation and convenient to operate. Because the position and the distribution condition of the on-site smoke alarm are judged by adopting an automatic detection mode, the complicated manual operation procedures are reduced.

Description

Smoke alarm position detection platform and method
Technical Field
The invention relates to the field of instruments and meters, in particular to a smoke alarm position detection platform and a smoke alarm position detection method.
Background
The smoke detector alarm is actually a different name of a smoke detector or a smoke alarm, the smoke detector alarm realizes fire prevention by monitoring smoke concentration, an ion smoke sensor is adopted inside, the ion smoke sensor is a sensor with advanced technology and reliable working stability, and is widely applied to various fire alarm systems, and the performance of the smoke detector alarm is far superior to that of a gas-sensitive resistor type fire alarm.
The infrared light beam of the infrared transmitting tube is scattered by smoke particles, and the intensity of scattered light is in direct proportion to the smoke concentration, so that the intensity of the infrared light beam received by the photosensitive tube can be changed and converted into a point signal, and finally, the point signal is converted into an alarm signal. The smoke induction of the alarm is mainly completed by an optical maze, a group of infrared transmitting and receiving photoelectric tubes are arranged in the maze, and the correlation angle is 135 degrees. When no smoke exists in the environment, the receiving tube cannot receive infrared light emitted by the infrared emitting tube, and the subsequent sampling circuit has no electric signal change; when smoke exists in the environment, smoke particles enter the labyrinth to enable infrared light emitted by the emitting tube to be scattered, the intensity of the scattered infrared light has a certain linear relation with the smoke concentration, the subsequent sampling circuit changes, the main control chip arranged in the alarm judges the variable quantities to determine whether fire occurs or not, once the fire is determined, the alarm sends a fire signal, the fire indicator lamp (red) is turned on, and the buzzer is started to give an alarm.
Disclosure of Invention
In order to solve the related problems in the prior art, the invention provides a smoke alarm position detection platform which can quickly identify the position of each smoke alarm on a roof to be detected and accurately detect the distribution uniformity of each smoke alarm so as to judge the smoke detection effect of the corresponding smoke alarm.
Therefore, the invention needs to have the following two important points:
(1) analyzing the positions of the smoke alarms on the roof in an automatic detection mode, further determining the uniformity degree of the distribution of the smoke alarms, and providing important reference data for the accuracy and reliability of the installation of roof instruments;
(2) calculating a reference position corresponding to the smoke alarm based on the depth of field of the centroid of each smoke alarm area and the imaging focal length of the embedded camera, wherein the reference position is a coordinate value of a coordinate point in a coordinate system established by taking the embedded camera as an original point, and the shallower the depth of field of the centroid of each smoke alarm area, the closer the corresponding coordinate value is to the original point.
According to an aspect of the present invention there is provided a smoke alarm position detection platform, the platform comprising:
a distribution checking device for calculating the distribution uniformity of each smoke alarm based on each reference position of each smoke alarm;
the embedded camera is packaged in the front panel of the portable equipment and used for executing camera shooting action towards the roof of a room to be inspected in the front direction under the condition of manual holding so as to obtain a corresponding real-time roof image;
the data filtering equipment is connected with the embedded camera and used for receiving the real-time roof image and executing arithmetic mean filtering processing on the real-time roof image to obtain a corresponding data filtering image;
the logarithmic enhancement device is connected with the data filtering device and used for carrying out image enhancement processing based on logarithmic transformation on the received data filtering image so as to obtain and output a corresponding logarithmic enhancement image;
a DDR3 storage device for storing in advance respective outline patterns of various smoke alarms, each outline pattern being an image obtained by photographing a corresponding kind of smoke alarm and including only the corresponding kind of smoke alarm;
the content searching device is respectively connected with the logarithmic enhancement device and the DDR3 storage device and is used for searching an image area, with the matching degree of the appearance pattern of a certain smoke alarm exceeding a preset percentage threshold value, in the received logarithmic enhancement image to serve as a smoke alarm area;
the position analysis equipment is respectively connected with the distribution inspection equipment and the content search equipment and is used for calculating a reference position corresponding to the smoke alarm based on the depth of field of the centroid of each smoke alarm area and the imaging focal length of the embedded camera, and the reference position is a coordinate value of a coordinate point in a coordinate system established by taking the embedded camera as an original point;
the DDR3 storage device is further connected with the position analysis device and is used for receiving and temporarily storing each reference position of each smoke alarm.
According to another aspect of the invention, there is also provided a smoke alarm position detection method comprising using a smoke alarm position detection platform as described above to analyse the degree of uniformity of the smoke alarm distribution based on the position of each smoke alarm detected in the field.
The smoke alarm position detection platform and the smoke alarm position detection method are intelligent in operation and convenient to operate. Because the position and the distribution condition of the on-site smoke alarm are judged by adopting an automatic detection mode, the complicated manual operation procedures are reduced.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a configuration diagram of a smoke alarm to which a smoke alarm position detection platform is applied according to an embodiment of the present invention.
Detailed Description
Embodiments of the smoke alarm position detection platform and method of the present invention will now be described in detail with reference to the accompanying drawings.
With the continuous development of microelectronic technology and computer technology, the fundamental change of instrument structure is caused, a microcomputer (single chip microcomputer) is taken as a main body, the computer technology and the detection technology are organically combined to form a new generation of intelligent instrument, and great progress is made in the aspects of automation of the measurement process, measurement data processing and function diversification compared with the conventional measurement circuit of the traditional instrument. The intelligent instrument can solve the problem that the traditional instrument is difficult to solve or can not solve, can also simplify the instrument circuit, improves the reliability of the instrument, and realizes the purposes of high precision, high performance and multiple functions more easily. With the further development of scientific technology, the degree of intellectualization of the instrument will be higher and higher. The intelligent instrument can not only finish the accurate display of various physical quantities, but also have various functions of transmitting output, relay control output, communication, data retention and the like. The intelligent instrument and the intelligent sensor are generally used in a field bus system, and a communication module and a control module are embedded in the instrument and the sensor, so that the functions of data acquisition, data processing and data communication can be completed.
The original smart meter is called an automatic meter reading system (AMR), and remote automatic meter reading also becomes the most basic function of the smart meter. Automatic meter reading can be realized by utilizing the infrared communication function and other communication functions of the intelligent instrument. Therefore, the workers do not need to go to the site to manually read the meter, the efficiency is improved, and the cost of the meter reading business is reduced. In addition, the error caused by human factors can be reduced, the meter reading precision is improved, and the income is also improved. Then, the remote operation function of the two-way communication is also added to prevent illegal use of electric power/gas, etc., so that the smart meter is initially applied and viewed by the energy industry.
The intelligent degree of the intelligent instrument represents the application range and depth, the current intelligent instrument is only in a low-level primary intelligent stage, but some special processes and application occasions put higher requirements on the intelligent of the instrument, and the current intelligent theory is as follows: the neural network, the genetic algorithm, the wavelet theory, the chaos theory and the like have potential application foundations, which means that the high-level intelligent instrument technology is necessarily capable of being developed by combining with the specific application requirements.
At present, because the mistake or the imperfection in the installer operation leads to smoke alarm on the roof to distribute not evenly enough very easily, like this, even smoke alarm installation and installation quantity are enough, also can't reach anticipated smoke alarm effect, and then cause the potential safety hazard to a certain extent. The mode that inspection personnel visual observation is currently generally adopted to judge the uniformity degree, and the judging mode is too original.
In order to overcome the defects, the invention builds a smoke alarm position detection platform and a method, and can effectively solve the corresponding technical problems.
A smoke alarm position detection platform shown according to an embodiment of the present invention comprises:
a distribution verification device for calculating the uniformity of distribution of the smoke alarms based on the reference positions of the smoke alarms, the profile of each smoke alarm being as shown in figure 1;
the embedded camera is packaged in the front panel of the portable equipment and used for executing camera shooting action towards the roof of a room to be inspected in the front direction under the condition of manual holding so as to obtain a corresponding real-time roof image;
the data filtering equipment is connected with the embedded camera and used for receiving the real-time roof image and executing arithmetic mean filtering processing on the real-time roof image to obtain a corresponding data filtering image;
the logarithmic enhancement device is connected with the data filtering device and used for carrying out image enhancement processing based on logarithmic transformation on the received data filtering image so as to obtain and output a corresponding logarithmic enhancement image;
a DDR3 storage device for storing in advance respective outline patterns of various smoke alarms, each outline pattern being an image obtained by photographing a corresponding kind of smoke alarm and including only the corresponding kind of smoke alarm;
the content searching device is respectively connected with the logarithmic enhancement device and the DDR3 storage device and is used for searching an image area, with the matching degree of the appearance pattern of a certain smoke alarm exceeding a preset percentage threshold value, in the received logarithmic enhancement image to serve as a smoke alarm area;
the position analysis equipment is respectively connected with the distribution inspection equipment and the content search equipment and is used for calculating a reference position corresponding to the smoke alarm based on the depth of field of the centroid of each smoke alarm area and the imaging focal length of the embedded camera, and the reference position is a coordinate value of a coordinate point in a coordinate system established by taking the embedded camera as an original point;
the DDR3 storage device is further connected with the position analysis device and is used for receiving and temporarily storing each reference position of each smoke alarm.
Next, the detailed structure of the smoke alarm position detection platform of the present invention will be further described.
Among the smoke alarm position testing platform:
calculating the reference position of the corresponding smoke alarm based on the depth of field of the centroid of each smoke alarm area and the imaging focal length of the embedded camera: the shallower the depth of field of the centroid of each smoke alarm region, the closer the corresponding coordinate value is to the origin.
The smoke alarm position detection platform can further comprise:
and the frequency domain analysis equipment is packaged in a front panel of the portable equipment, is connected with the embedded camera and is used for receiving the real-time roof image, dividing the frequency domain into a plurality of uniform frequency bands, performing frequency domain analysis on the real-time roof image to determine one or more frequency bands occupied by the real-time roof image and located in a high-frequency range, and outputting the one or more frequency bands as one or more detected frequency bands.
The smoke alarm position detection platform can further comprise:
and the detail detection device is connected with the frequency domain analysis device and is used for receiving the real-time roof image and the one or more detected frequency bands, filtering corresponding signals of the one or more detected frequency bands from the real-time roof image to obtain and output a residual contour image, and outputting an image obtained by stripping the residual contour image from the real-time roof image as a detail detection image.
The smoke alarm position detection platform can further comprise:
and the self-adaptive enhancement equipment is connected with the detail detection equipment and is used for receiving the real-time roof image, the residual contour image and the detail detection image, measuring the signal-to-noise ratio of the real-time roof image, and executing edge enhancement processing with different strength on the detail detection image based on the signal-to-noise ratio so as to obtain a corresponding edge processing image.
The smoke alarm position detection platform can further comprise:
and the frequency domain merging equipment is connected with the self-adaptive enhancing equipment and is used for carrying out frequency domain merging processing on the edge processing image and the residual contour image so as to obtain and output a corresponding frequency domain merging image.
Among the smoke alarm position testing platform:
the frequency domain merging device is also connected with the data filtering device and used for replacing the real-time roof image with the frequency domain merged image and sending the frequency domain merged image to the data filtering device.
Among the smoke alarm position testing platform:
in the adaptive enhancement device, performing different strength edge enhancement processing on the detail detection image based on the signal-to-noise ratio comprises: the smaller the signal-to-noise ratio, the greater the strength of the edge enhancement processing performed on the detail detection image.
Meanwhile, in order to overcome the defects, the invention also provides a smoke alarm position detection method, which comprises the step of using the smoke alarm position detection platform to analyze the distribution uniformity degree of the smoke alarms based on the positions of the smoke alarms detected on site.
In addition, DDR3 video memory can be regarded as an improved version of DDR2, which has many similarities, and mainly adopts an FBGA packaging mode of 144Pin ball-type pins. However, the DDR3 core is improved: the DDR3 video memory adopts 0.11 micron production technology, and the power consumption is obviously reduced compared with the DDR 2. In addition, the DDR3 video memory adopts the "Pseudo Open Drain" interface technology, and as long as the voltage is appropriate, the display chip can directly support the DDR3 video memory. Of course, the longer latency (CAS latency) of video memory particles has been a common problem of high frequency video memory, and DDR3 is no exception, with DDR3 having CAS latency of 5/6/7/8 compared to DDR2 of 3/4/5. Surprisingly, DDR3 has no dramatic technical advance over DDR2, but the performance advantage of DDR3 is still significant: (1) the power consumption and the heat generation are small: the training of DDR2 is absorbed, energy consumption and heat productivity are reduced on the basis of controlling cost, and DDR3 is more easily accepted by users and manufacturers. (2) The working frequency is higher: due to the fact that energy consumption is reduced, DDR3 can achieve higher working frequency, the defect of long delay time is made up to a certain degree, and meanwhile, the DDR3 can serve as one of selling points of the video card, which is already shown on the video card matched with the DDR3 video memory. (3) The overall cost of the display card is reduced: the DDR2 video memory granule specification is mostly 4M X32bit, and the 128MB video memory commonly used with middle and high-end video cards needs 8. The DDR3 video memory specification is mostly 8M X32bit, the single particle capacity is large, and the 128MB video memory can be formed by 4 particles. Therefore, the area of the display card PCB can be reduced, the cost can be effectively controlled, and in addition, the display memory power consumption can be further reduced after the particle number is reduced. (4) The universality is good: DDR3 has better compatibility with DDR2 than DDR is changed to DDR 2. Because the key characteristics such as pins, packaging and the like are not changed, the DDR3 video memory can be adopted by slightly modifying the display core matched with the DDR2 and the video card designed by a public edition, and the cost is greatly reduced for manufacturers. At present, DDR3 is widely applied to most middle and high-end display cards which are newly existed.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (9)

1. A smoke alarm position detection platform, the platform comprising:
a distribution checking device for calculating the distribution uniformity of each smoke alarm based on each reference position of each smoke alarm;
the embedded camera is packaged in the front panel of the portable equipment and used for executing camera shooting action towards the roof of a room to be inspected in the front direction under the condition of manual holding so as to obtain a corresponding real-time roof image;
the data filtering equipment is connected with the embedded camera and used for receiving the real-time roof image and executing arithmetic mean filtering processing on the real-time roof image to obtain a corresponding data filtering image;
the logarithmic enhancement device is connected with the data filtering device and used for carrying out image enhancement processing based on logarithmic transformation on the received data filtering image so as to obtain and output a corresponding logarithmic enhancement image;
a DDR3 storage device for storing in advance respective outline patterns of various smoke alarms, each outline pattern being an image obtained by photographing a corresponding kind of smoke alarm and including only the corresponding kind of smoke alarm;
the content searching device is respectively connected with the logarithmic enhancement device and the DDR3 storage device and is used for searching an image area, with the matching degree of the appearance pattern of a certain smoke alarm exceeding a preset percentage threshold value, in the received logarithmic enhancement image to serve as a smoke alarm area;
the position analysis equipment is respectively connected with the distribution inspection equipment and the content search equipment and is used for calculating a reference position corresponding to the smoke alarm based on the depth of field of the centroid of each smoke alarm area and the imaging focal length of the embedded camera, and the reference position is a coordinate value of a coordinate point in a coordinate system established by taking the embedded camera as an original point;
the DDR3 storage device is further connected with the position analysis device and is used for receiving and temporarily storing each reference position of each smoke alarm.
2. The smoke alarm position detection platform of claim 1 wherein:
calculating the reference position of the corresponding smoke alarm based on the depth of field of the centroid of each smoke alarm area and the imaging focal length of the embedded camera: the shallower the depth of field of the centroid of each smoke alarm region, the closer the corresponding coordinate value is to the origin.
3. The smoke alarm position detection platform of claim 2, wherein the platform further comprises:
and the frequency domain analysis equipment is packaged in a front panel of the portable equipment, is connected with the embedded camera and is used for receiving the real-time roof image, dividing the frequency domain into a plurality of uniform frequency bands, performing frequency domain analysis on the real-time roof image to determine one or more frequency bands occupied by the real-time roof image and located in a high-frequency range, and outputting the one or more frequency bands as one or more detected frequency bands.
4. The smoke alarm position detection platform of claim 3, wherein the platform further comprises:
and the detail detection device is connected with the frequency domain analysis device and is used for receiving the real-time roof image and the one or more detected frequency bands, filtering corresponding signals of the one or more detected frequency bands from the real-time roof image to obtain and output a residual contour image, and outputting an image obtained by stripping the residual contour image from the real-time roof image as a detail detection image.
5. The smoke alarm position detection platform of claim 4, wherein the platform further comprises:
and the self-adaptive enhancement equipment is connected with the detail detection equipment and is used for receiving the real-time roof image, the residual contour image and the detail detection image, measuring the signal-to-noise ratio of the real-time roof image, and executing edge enhancement processing with different strength on the detail detection image based on the signal-to-noise ratio so as to obtain a corresponding edge processing image.
6. The smoke alarm position detection platform of claim 5, wherein the platform further comprises:
and the frequency domain merging equipment is connected with the self-adaptive enhancing equipment and is used for carrying out frequency domain merging processing on the edge processing image and the residual contour image so as to obtain and output a corresponding frequency domain merging image.
7. The smoke alarm position detection platform of claim 6 wherein:
the frequency domain merging device is also connected with the data filtering device and used for replacing the real-time roof image with the frequency domain merged image and sending the frequency domain merged image to the data filtering device.
8. The smoke alarm position detection platform of claim 7 wherein:
in the adaptive enhancement device, performing different strength edge enhancement processing on the detail detection image based on the signal-to-noise ratio comprises: the smaller the signal-to-noise ratio, the greater the strength of the edge enhancement processing performed on the detail detection image.
9. A method of smoke alarm location detection, the method comprising using a smoke alarm location detection platform according to any of claims 1 to 8 to analyse the degree of uniformity of the distribution of smoke alarms based on the location of each smoke alarm detected in the field.
CN202010020370.7A 2020-01-09 2020-01-09 Smoke alarm position detection platform and method Pending CN111489538A (en)

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CN112516602A (en) * 2020-10-19 2021-03-19 泰州程顺制冷设备有限公司 Automatic control platform and method for multi-person crossing mechanism
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